2022-05-06
Introduction
How personal parameters influence diabetes diagnosis
- Is the diagnosis influenced by income and gender
- Explore clustering patterns in the data
- Is there specific variables related to if a person is treated
NHANES glycohemoglobin data
Methods
Principal Component Analysis
Investigating patterns in relation to diagnosis of diabetes melltius
Principal Component Analysis
Investigating of patterns in relation to BMI
K-means clustering
Identify relevant number of clusters
K-means clustering
CLusters between age and all other variables
Conclusion